JOURNAL ARTICLE

Blockchain-Based Secure Cross-Domain Data Sharing for Edge-Assisted Industrial Internet of Things

Fengqun WangJie CuiQingyang ZhangDebiao HeHong Zhong

Year: 2024 Journal:   IEEE Transactions on Information Forensics and Security Vol: 19 Pages: 3892-3905   Publisher: Institute of Electrical and Electronics Engineers

Abstract

In the Industrial Internet of Things (IIoT), blockchain-based data-sharing frameworks can effectively build cross-domain trust and facilitate data sharing. However, secure data-sharing schemes are lacking for the IIoT scenario, in which smart devices cannot communicate across domains and can only access data through edge servers. In this study, we propose a lightweight and secure data-sharing scheme for the blockchain-enabled cross-domain IIoT, in which authorized smart devices can access cross-domain data anonymously. First, smart devices can dynamically generate pseudonyms by themselves and without the online participation of domain authorization centers, effectively reducing the storage overhead of smart devices and the workload of domain authorization centers. Second, the scheme combines broadcast encryption and proxy re-encryption techniques, which realize flexible data sharing across domains while protecting the privacy of smart devices. Detailed security proofs and analyses demonstrate that the proposed scheme is secure and resistant to various attacks. The performance analysis shows that our proposed scheme is efficient and performs better than related schemes.

Keywords:
Computer science Blockchain Internet of Things Industrial Internet Enhanced Data Rates for GSM Evolution Domain (mathematical analysis) The Internet Computer security Computer network World Wide Web Telecommunications

Metrics

37
Cited By
56.52
FWCI (Field Weighted Citation Impact)
41
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems
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